Instructions to use carvychen/db-lora-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use carvychen/db-lora-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("carvychen/db-lora-xl") prompt = "shs inkpainting" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 77a7b771c1a11fbf2d3b64d5b37d44f944b2c23637227b526406f241fe60e6af
- Size of remote file:
- 47.4 MB
- SHA256:
- 153bda2b88122ef6282df801fa69f64ece083f6b1f188f4d23ed5ace3687eb4f
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